FourCastNet TC Adapter¶

Overview¶

fourcastnet_tc completes the first wave of experimental foundation-weather storm adapters in the staged roadmap.

At a Glance¶

Hazard Family

Tropical Cyclone

Public catalog grouping used for this model.

Maturity

Experimental Adapter

Catalog maturity label used on the index page.

Tasks

Track + Intensity

Benchmark Family

Tropical Cyclone Benchmark

Primary benchmark-family link used for compatible evaluation coverage.

Description¶

fourcastnet_tc completes the first wave of experimental foundation-weather storm adapters in the staged roadmap.

The PyHazards version is intentionally lightweight and uses the same trajectory output contract as the other storm baselines.

Benchmark Compatibility¶

Primary benchmark family: Tropical Cyclone Benchmark

Mapped benchmark ecosystems: IBTrACS

External References¶

Paper: FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators | Repo: Repository

Registry Name¶

Primary entrypoint: fourcastnet_tc

Supported Tasks¶

Track + Intensity

Programmatic Use¶

import torch
from pyhazards.models import build_model

model = build_model(name="fourcastnet_tc", task="regression", input_dim=8, history=6, horizon=5)
preds = model(torch.randn(2, 6, 8))
print(preds.shape)

Notes¶

Experimental adapter: intended for shared-evaluator prototyping rather than exact weather-model parity.